The principal .reason for rotating a factor analysis solution is to increase the amount of "explained" variance in the variables.
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Q5: In hierarchical cluster analysis,once a group of
Q6: If the eigenvalue of the first factor
Q7: Factor analysis tells us which variables are
Q8: Varimax rotation involves an oblique rotation of
Q9: Hierarchical clustering works well if a researcher
Q11: Varimax rotation in factor analysis will tell
Q12: In dependence models,no variable or variables are
Q13: To use cluster analysis,researchers must choose either
Q14: Variables that have drastically different ranges can
Q15: In cluster analysis it is especially dangerous
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